About the Company:
Join AT&T and reimagine the communications and technologies that connect the world. Our Chief Security Office ensures that our assets are safeguarded through truthful transparency, enforce accountability and master cybersecurity to stay ahead of threats. Bring your bold ideas and fearless risk-taking to redefine connectivity and transform how the world shares stories and experiences that matter. When you step into a career with AT&T, you won’t just imagine the future-you’ll create it.
About the Job:
As part of the AT&T Identity and Access Management team, we are seeking an Senior Cyber Security AI Engineer with strong expertise in applying artificial intelligence, machine learning, automation, and data-driven decisioning within the Identity and Access Management IAM domain. The ideal candidate will design, develop, and implement AI-enabled solutions that improve identity governance, access certification, authentication, authorization, anomaly detection, privileged access monitoring, and risk-based access controls.
This role will work closely with IAM architects, cybersecurity teams, platform engineers, application owners, data scientists, and business stakeholders to deliver scalable, secure, and intelligent IAM capabilities across enterprise environments.
Experience Level: 12+ years.
Location: Hyderabad / Bengaluru
Responsibilities Include:
The expert in this role will lead, support and guide team members in technical and functional matters in providing high-quality and actionable products / deliverables. Leads the team to success. Collaborates with leadership teams, provides subject matter expertise and insights. The Lead Cybersecurity in this role will -
Design and develop AI/ML models to support IAM use cases such as access risk scoring, identity analytics, anomalous behavior detection, and access recommendation engines.
Apply AI techniques to improve identity lifecycle management, access provisioning, deprovisioning, access reviews, and certification processes.
Integrate AI solutions with IAM platforms such as IGA, PAM and authentication solutions
Collaborate with IAM engineering teams to automate manual processes using AI, machine learning, natural language processing, and workflow automation.
Design and implement data models, feature engineering approaches, and model evaluation methods for IAM-related use cases.
Partner with security architecture teams to ensure AI-enabled IAM solutions align with enterprise security standards.
Monitor model performance, accuracy, drift, and operational effectiveness.
Support explainability, auditability, and governance of AI-driven access decisions.
Create technical documentation, design diagrams, implementation plans, and operational runbooks.
Stay current with emerging AI, cybersecurity, and IAM technologies and recommend improvements.
The expert in this role will perform analysis of complex security issues and corresponding activities to help mitigate risk. Includes forward looking research, planning and strategy to strengthen our stance against future cyber security threats and attacks, and enhancing our mitigation techniques, processes, and technology solutions.
Required skills:
Overall - At least 12+ years of experience in performing security engineering and assessments of complex systems with AI / ML / Data Science capabilities and services
4+ years of experience auditing existing AI or machine learning systems for security risks and compliance.
Strong understanding of Identity and Access Management IAM domain
Hands-on experience with machine learning, deep learning, or statistical modeling.
Experience working with large-scale datasets, including authentication logs, access logs, entitlement data, user attributes, and audit data.
Experience with AI/ML frameworks such as TensorFlow, PyTorch, Scikit-learn, XGBoost, LangChain, or similar tools.
Experience with data platforms and tools such as SQL, Spark, Databricks, Snowflake, BigQuery, or similar technologies.
Familiarity with cloud platforms such as Azure, AWS, or Google Cloud.
Understanding of cybersecurity principles, access control models, and enterprise risk management.
Ability to translate business and security requirements into technical AI solutions.
Strong analytical, problem-solving, and communication skills
Flexible to provide coverage in US morning hours on a need-basis, and as required.
Desirable skills:
Bachelor's or master's degree in computer science, mathematics, information systems, engineering, or cybersecurity.
Industry certifications such as CISSP, SANS and/or other relevant certifications
Experience designing, developing, and deploying secure AI systems.
Training in secure coding standards and best practices for AI-related projects.
Knowledge of ethical hacking techniques.
Ability to develop security protocols and policies.
Excellent communication, problem-solving, and analytical skills.
Ability to work independently and as part of a team.
Additional information (if any): Flexible to provide coverage in US morning hours on a need-basis, and as required.
Good to have AI knowledge / experience:
1. Experience with Generative AI or Large Language Models for IAM use cases such as policy analysis, access request recommendations, entitlement summarization, or automated access review support.
2. Experience leveraging AI-enabled tools (such as Copilot for Security, Darktrace, CrowdStrike Charlotte AI, or custom LLM integrations) to enhance detection, response, and automation workflows.
3. Understanding of LLM safety, prompt engineering, or AI governance frameworks (e.g., NIST AI RMF, EU AI Act readiness) is a plus.
4. Exposure to data science fundamentals relevant to security (pattern recognition, supervised vs. unsupervised learning, model validation).
#Cybersecurity
Weekly Hours:
40
Time Type:
Regular
Location:
IND:AP:Hyderabad / Argus Bldg 4f & 5f, Sattva, Knowledge City- Adm: Argus Building, Sattva, Knowledge City
It is the policy of AT&T to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, AT&T will provide reasonable accommodations for qualified individuals with disabilities. AT&T is a fair chance employer and does not initiate a background check until an offer is made.